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Evaluating the Quality of an Image Acquisition Device Aimed at the Reconstruction of Spectral Reflectances Using Recovery Models

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Accurate recovery of spectral reflectances is important for color reproduction under a variety of illuminations, and several models have been proposed to recover them. To evaluate the quality (Q1) of an image acquisition system aimed at recovery of spectral reflectances, we proposed an evaluation model based on Wiener estimation and showed that mean square errors between the recovered and measured spectral reflectances as a function of Q1 agree quite well with the prediction from the model, and that estimation of the noise variance of the image acquisition system is essential to the evaluation model. In this paper, the evaluation model was applied to two different reflectance recovery methods, and it is confirmed that the proposed model can be applied to different methods.

Document Type: Research Article


Affiliations: Kinki University, School of Science and Engineering, 3-4-1, Kowakae, Higashi-Osaka, Osaka 577-8502, Japan

Publication date: 2008-05-01

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  • The Journal of Imaging Science and Technology (JIST) is dedicated to the advancement of imaging science knowledge, the practical applications of such knowledge, and how imaging science relates to other fields of study. The pages of this journal are open to reports of new theoretical or experimental results, and to comprehensive reviews. Only original manuscripts that have not been previously published, nor currently submitted for publication elsewhere, should be submitted.

    IS&T's JIST-first publication option allows authors wishing to present their work at conferences, but have a journal citation for their paper, to submit a paper to JIST that follows the same rigorous peer-review vetting and publication process as traditional JIST articles, but with the benefit of a condensed time-to-publication time frame and guaranteed conference presentation slot.

    Please note: For purposes of its Digital Library content, IS&T defines Open Access as papers that will be downloadable in their entirety for free in perpetuity. Copyright restrictions on papers vary; see individual paper for details.

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